YOLO5Face 2021 与 MNN/NCNN/TNN/ONNXRuntime_C++_代码_下载

# YOLO5Face.lite.ai.toolkit 使用 🍅🍅 Lite.AI.ToolKit C++工具箱来跑YOLO5Face人脸检测(带关键点)的一些案例(https://github.com/DefTruth/lite.ai.toolkit) , 包含ONNXRuntime C++、MNN、TNN和NCNN版本。  如果觉得有用，不妨给个Star⭐️🌟支持一下吧~ 🙃🤪🍀 ## 2. C++版本源码 YOLO5Face C++ 版本的源码包含ONNXRuntime、MNN、TNN和NCNN四个版本，源码可以在 [lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit) 工具箱中找到。本项目主要介绍如何基于 [lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit) 工具箱，直接使用YOLO5Face来跑人脸检测。需要说明的是，本项目是基于MacOS下编译的 [liblite.ai.toolkit.v0.1.0.dylib](https://github.com/DefTruth/yolox.lite.ai.toolkit/blob/main/lite.ai.toolkit/lib) 来实现的，对于使用MacOS的用户，可以直接下载本项目包含的*liblite.ai.toolkit.v0.1.0*动态库和其他依赖库进行使用。而非MacOS用户，则需要从[lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit) 中下载源码进行编译。[lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit) c++工具箱目前包含70+流行的开源模型，就不多介绍了，只是平时顺手捏的，整合了自己学习过程中接触到的一些模型，感兴趣的同学可以去看看。 * [yolo5face.cpp](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/ort/cv/yolo5face.cpp) * [yolo5face.h](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/ort/cv/yolo5face.h) * [mnn_yolo5face.cpp](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/mnn/cv/mnn_yolo5face.cpp) * [mnn_yolo5face.h](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/mnn/cv/mnn_yolo5faceh) * [tnn_yolo5face.cpp](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/tnn/cv/tnn_yolo5face.cpp) * [tnn_yolo5face.h](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/tnn/cv/tnn_yolo5face.h) * [ncnn_yolo5face.cpp](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/ncnn/cv/ncnn_yolo5face.cpp) * [ncnn_yolo5face.h](https://github.com/DefTruth/lite.ai.toolkit/blob/main/lite/ncnn/cv/ncnn_yolo5face.h) ONNXRuntime C++、MNN、TNN和NCNN版本的推理实现均已测试通过，欢迎白嫖~ ## 3. 模型文件 ### 3.1 ONNX模型文件 可以从我提供的链接下载 ([Baidu Drive](https://pan.baidu.com/s/1elUGcx7CZkkjEoYhTMwTRQ) code: 8gin) , 也可以从本仓库下载。 | Class | Pretrained ONNX Files | Rename or Converted From (Repo) | Size | | :-----------------------------------: | :-----------------------------: | :-------------------------------------------------------: | :---: | | *lite::cv::face::detect::YOLO5Face* | yolov5face-blazeface-640x640.onnx | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 3.4Mb | | *lite::cv::face::detect::YOLO5Face* | yolov5face-l-640x640.onnx | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 181Mb | | *lite::cv::face::detect::YOLO5Face* | yolov5face-m-640x640.onnx | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 83Mb | | *lite::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-320x320.onnx | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 2.5Mb | | *lite::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-640x640.onnx | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 4.6Mb | | *lite::cv::face::detect::YOLO5Face* | yolov5face-n-640x640.onnx | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 9.5Mb | | *lite::cv::face::detect::YOLO5Face* | yolov5face-s-640x640.onnx | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 30Mb | ### 3.2 MNN模型文件 MNN模型文件下载地址，([Baidu Drive](https://pan.baidu.com/s/1KyO-bCYUv6qPq2M8BH_Okg) code: 9v63), 也可以从本仓库下载。 | Class | Pretrained MNN Files | Rename or Converted From (Repo) | Size | | :-----------------------------------: | :-----------------------------: | :-------------------------------------------------------: | :---: | | *lite::mnn::cv::face::detect::YOLO5Face* | yolov5face-blazeface-640x640.mnn | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 3.4Mb | | *lite::mnn::cv::face::detect::YOLO5Face* | yolov5face-l-640x640.mnn | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 181Mb | | *lite::mnn::cv::face::detect::YOLO5Face* | yolov5face-m-640x640.mnn | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 83Mb | | *lite::mnn::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-320x320.mnn | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 2.5Mb | | *lite::mnn::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-640x640.mnn | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 4.6Mb | | *lite::mnn::cv::face::detect::YOLO5Face* | yolov5face-n-640x640.mnn | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 9.5Mb | | *lite::mnn::cv::face::detect::YOLO5Face* | yolov5face-s-640x640.mnn | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 30Mb | ### 3.3 TNN模型文件 TNN模型文件下载地址，([Baidu Drive](https://pan.baidu.com/s/1lvM2YKyUbEc5HKVtqITpcw) code: 6o6k), 也可以从本仓库下载。 | Class | Pretrained TNN Files | Rename or Converted From (Repo) | Size | | :-----------------------------------: | :-----------------------------: | :-------------------------------------------------------: | :---: | | *lite::tnn::cv::face::detect::YOLO5Face* | yolov5face-blazeface-640x640.opt.tnnproto&tnnmodel | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 3.4Mb | | *lite::tnn::cv::face::detect::YOLO5Face* | yolov5face-l-640x640.opt.tnnproto&tnnmodel | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 181Mb | | *lite::tnn::cv::face::detect::YOLO5Face* | yolov5face-m-640x640.opt.tnnproto&tnnmodel | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 83Mb | | *lite::tnn::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-320x320.opt.tnnproto&tnnmodel | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 2.5Mb | | *lite::tnn::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-640x640.opt.tnnproto&tnnmodel | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 4.6Mb | | *lite::tnn::cv::face::detect::YOLO5Face* | yolov5face-n-640x640.opt.tnnproto&tnnmodel | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 9.5Mb | | *lite::tnn::cv::face::detect::YOLO5Face* | yolov5face-s-640x640.opt.tnnproto&tnnmodel | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 30Mb | ### 3.4 NCNN模型文件 NCNN模型文件下载地址，([Baidu Drive](https://pan.baidu.com/s/1hlnqyNsFbMseGFWscgVhgQ) code: sc7f), 也可以从本仓库下载。 | Class | Pretrained NCNN Files | Rename or Converted From (Repo) | Size | | :-----------------------------------: | :-----------------------------: | :-------------------------------------------------------: | :---: | | *lite::ncnn::cv::face::detect::YOLO5Face* | yolov5face-l-640x640.opt.param&bin | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 181Mb | | *lite::ncnn::cv::face::detect::YOLO5Face* | yolov5face-m-640x640.opt.param&bin | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 83Mb | | *lite::ncnn::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-320x320.opt.param&bin | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 2.5Mb | | *lite::ncnn::cv::face::detect::YOLO5Face* | yolov5face-n-0.5-640x640.opt.param&bin | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 4.6Mb | | *lite::ncnn::cv::face::detect::YOLO5Face* | yolov5face-n-640x640.opt.param&bin | [YOLO5Face](https://github.com/deepcam-cn/yolov5-face) | 9.5Mb | | *lite::ncnn::cv::face::detect::YOLO5Face* | yolov5fac